AI at the Edge Challenge Spotlight: Saving Bandwidth with Anomaly Detection – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-06T02:18:37Z http://www.open-lab.net/blog/feed/ Nefi Alarcon <![CDATA[AI at the Edge Challenge Spotlight: Saving Bandwidth with Anomaly Detection]]> https://news.www.open-lab.net/?p=17137 2023-04-06T03:10:26Z 2020-05-28T17:29:01Z Most smart city applications today rely on analyzing large amounts of video data from cameras. The ability to identify and reason over the most relevant events...]]> Most smart city applications today rely on analyzing large amounts of video data from cameras. The ability to identify and reason over the most relevant events...

Most smart city applications today rely on analyzing large amounts of video data from cameras. The ability to identify and reason over the most relevant events within a video is essential to build efficient and scalable applications. In the recently concluded AI at the Edge Challenge, team SmellslikeML proposed an NVIDIA Jetson Nano-based application and won the second prize in the��

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